New Publication from MITIQ
Introduction to Information Quality
By: Craig Fisher, Eitel Laurķa, Shobha Chengalur-Smith, and Richard Wang
This book is an introduction to the critical skills and knowledge areas that are necessary to begin performing information quality work. It discusses the issues in data and information quality that have been plaguing information systems for many years. Researchers have only recently begun to address data quality as a discipline in its own right, and a body of data quality literature has just begun to appear. This book will help
information systems (IS) and information technology (IT) professionals, systems and business analysts sort out their data quality issues. Upper-level undergraduate students who are majoring in IS, IT, management information systems (MIS), marketing, economics, accounting, or business administration will benefit from this resource.
Given the well-entrenched IS curriculum, many may ask why we need to focus on data quality. Some would say we cover data quality in data management or in programming. However, there is no denying that even with these resources, there have been tremendous adverse effects of poor-quality data and information throughout our society. Almost all businesses, government organizations, hospitals, educational institutions, and individuals have been hurt by data quality problems. The authors are convinced an organized discipline for data and information quality is sorely needed.
The first four chapters provide a broad basis for understanding the concepts and philosophy of data and information quality. Subsequent chapters build on these concepts by introducing tools and techniques essential for a data quality analyst to make improvements.
March 2006
MITIQ Program Publication
To order visit: http://mitiq.mit.edu/Books.htm#Introduction%20to%20Information%20Quality
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